Automatic monitoring method for high-speed milling cutter abrasion

Abstract

The invention discloses an automatic monitoring method for high-speed milling cutter abrasion, and belongs to the field of precision manufacturing. The method comprises the steps that an imaging device directly faces the end of a cutter to collect images repeatedly within the machining intervals set by a numerical control program, wherein the cutter is a milling cutter of a numerical control milling machine; gray-level mean square error counting is carried out on the middle area ( including the area where the cutter is located) of each acquired image, the image with the maximum mean square error is selected as a focused target image, and a white area formed by abrasion exists in the target image; and the abrasion parameter characteristics of the white area are extracted, wherein the abrasion parameters comprise a length, a width and an area, and the abrasion parameter characteristics are used as representation forms of cutter abrasion. According to the automatic monitoring method for the high-speed milling cutter abrasion, the abrasion amount of a micro-milling cutter can be monitored, and the service life of the cutter can be predicted; and damage to a to-be-machined semi-finishedworkpiece or reduction of machining precision caused by the over-damaged cutter can be avoided.

Description

technical field

[0001] The invention belongs to the field of precision manufacturing, in particular to an automatic monitoring method for high-speed milling tool wear. Background technique

[0002] Micro tool wear status monitoring is a difficult and extremely critical problem in precision machining. Especially for high-speed micro-milling of small-scale blade parts made of difficult-to-machine materials such as titanium alloys, the micro-tool wears quickly and needs to be detected and replaced in time. Due to the small size of the tool, it is very difficult to actually measure the tool wear, which greatly affects the machining progress. Although some indirect measurement and monitoring methods have been proposed in the literature, focusing on current, cutting force, vibration, acoustic emission, temperature, workpiece surface texture, etc., these methods need to be further improved, especially for micro-milling, similar indirect measurement methods are affected by noise. ...

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